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Optimization of the infusion process using adaptive control coupled with genetic algorithm in resin transfer molding
Kashani, Pooria Sharif Rodriguez, Alejandro J. Minaie, Bob
Kashani, Pooria Sharif
Rodriguez, Alejandro J.
Minaie, Bob
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Conference paper
Adobe PDF, 198.77 KB
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2007-04-27
Type
Conference paper
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Keywords
Mechanical engineering,Resin transfer molding
Subjects (LCSH)
Citation
Kashani, Pooria, Rodriguez, Alejandro,& Minaie, Bob. (2007). Optimization of the infusion process using adaptive control coupled with genetic algorithm in resin transfer molding. In Proceedings : 3rd Annual Symposium : Graduate Research and Scholarly Projects. Wichita, KS : Wichita State University, p.19-20.
Abstract
To account for the irregularities in the filling
pattern during Resin Transfer Molding (RTM), adaptive
control can be used to regulate the filling pattern such that the
last point to fill coincides with the preset exit vent location to
avoid dry spot formation. In this work, Genetic Algorithm
(GA) was selected as a robust search method to optimize the
location of the gates and the sensors. Results obtained show
that GA was able to use less than 5% of all possible
arrangements to find the optimal solutions. In addition, the
solutions found by GA were always in the top 0.4% of all
possible combinations. These results could provide useful
information for optimum arrangements and they could lead to
more efficient and intelligent processing
Table of Contents
Description
Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 27, 2007.
Research completed at the Department of Mechanical Engineering, College of Engineering
Research completed at the Department of Mechanical Engineering, College of Engineering
Publisher
Wichita State University. Graduate School.
Journal
Book Title
Series
GRASP
v.3
v.3